Advances in Machine Learning Applications in Software Engineering provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for future work in this emerging research field.
Jeffery J. P. Tsai received his Ph.D. degree in Computer Science from Northwestern University, Evanston, Illinois. He currently serves as a professor in the Department of Computer Science at the University of Illinois at Chicago, director of the Distributed Real-Time Intelligent Systems Laboratory, a Fellow of the IEEE, a member of the American Association for the Advancement of Science, and a member of the Society for Design and Process Science. He is currently the Co-Editor-In-Chief of the International Journal on Artificial Intelligence Tools, an Editor of the IEEE Transactions on Knowledge and Data Engineering, the International Journal of Systems Integration, the Annals of Software Engineering, and the International Journal of Software Engineering and Knowledge Engineering. [Editor]